Fix result query on zones

examples/04-Fluid-Examples/00-explore-fluid-simulation.py

@@ -88,3 +88,10 @@
 # water_temperature = simulation.temperature(phases=[2])
 print(water_temperature)
 # # The dataframe obtained now only stores data for the water phase.
+
+###############################################################################
+# To extract a result on given zones use the 'zone_ids' argument
+# or the 'qualifiers' dictionary argument with key 'zone'
+# Here we request and plot the temperature on all face zones
+face_temperature = simulation.temperature(zone_ids=list(simulation.face_zones.keys()))
+face_temperature.plot()

src/ansys/dpf/post/dataframe.py

@@ -826,14 +826,6 @@ def plot(self, shell_layer=shell_layers.top, **kwargs) -> Union[DpfPlotter, None
             #     )
             # )
             # return None
-        field_to_plot = fields[0]
-        # If multi-component, take the norm
-        if field_to_plot.component_count > 1:
-            field_to_plot = dpf.operators.math.norm(
-                field_to_plot, server=field_to_plot._server
-            ).eval()
-        plotter = DpfPlotter(**kwargs)
-        plotter.add_field(field=fields[0], **kwargs)
         # for field in fields:
         if len(fields) > 1:
             # try:
@@ -851,6 +843,15 @@ def plot(self, shell_layer=shell_layers.top, **kwargs) -> Union[DpfPlotter, None
             # )
             # return None
         # field.plot(text="debug")
+        field_to_plot = fields[0]
+        # If multi-component, take the norm
+        if field_to_plot.component_count > 1:
+            field_to_plot = dpf.operators.math.norm(
+                field_to_plot, server=field_to_plot._server
+            ).eval()
+        plotter = DpfPlotter(**kwargs)
+        plotter.add_field(field=field_to_plot, **kwargs)
+
         return plotter.show_figure(
             title=kwargs.pop("title", str(label_space)), **kwargs
         )

src/ansys/dpf/post/fluid_simulation.py

@@ -388,19 +388,23 @@ def _get_result(
             location=location,
             force_elemental_nodal=False,
         )
+        query_regions_meshes = False
         lists = []
         lists_labels = []
         if qualifiers:
             labels = list(qualifiers.keys())
             lists_labels.extend(labels)
             lists.extend([qualifiers[key] for key in labels])
+            if "zone" in labels:
+                query_regions_meshes = qualifiers["zone"]
         else:
             if set_ids:
                 lists.append(set_ids)
                 lists_labels.append("time")
             if zone_ids:
                 lists.append(zone_ids)
                 lists_labels.append("zone")
+                query_regions_meshes = zone_ids
             if phases:
                 phase_ids = []
                 available_phases = self.phases
@@ -423,6 +427,14 @@ def _get_result(
         # Its output is selected as future workflow output for now
         # print(result_op)
 
+        if query_regions_meshes:
+            # Results have been queried on regions,
+            # A MeshesProvider is required to give meshes as input of the source operator
+            meshes_provider_op = self._model.operator("meshes_provider")
+            meshes_provider_op.connect(25, query_regions_meshes)
+            wf.add_operator(meshes_provider_op)
+            result_op.connect(7, meshes_provider_op.outputs.meshes)
+
         out = result_op.outputs.fields_container
         # Its inputs are selected as workflow inputs for merging with selection workflows
         wf.set_input_name("time_scoping", result_op.inputs.time_scoping)

tests/test_fluid_simulation.py

@@ -429,3 +429,24 @@ def test_results_fluent_cross_locations_on_cells(self, fluent_simulation):
 """  # noqa: W291, E501
         assert str(result) == ref
         result.plot()
+
+    def test_plot_result_on_zones(self, fluent_simulation):
+        temperature = fluent_simulation.temperature(
+            zone_ids=list(fluent_simulation.cell_zones.keys())
+        )
+        temperature.plot()
+
+        temperature = fluent_simulation.temperature(
+            qualifiers={"zone": list(fluent_simulation.cell_zones.keys())}
+        )
+        temperature.plot()
+
+        temperature = fluent_simulation.temperature(
+            zone_ids=list(fluent_simulation.face_zones.keys())
+        )
+        temperature.plot()
+
+        temperature = fluent_simulation.temperature(
+            qualifiers={"zone": list(fluent_simulation.face_zones.keys())}
+        )
+        temperature.plot()